LG Electronics 16Z90TS-G.AU99B
Geekbench AI Score
697
Single Precision Score
478
Half Precision Score
1376
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 01:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16Z90TS-G.AU99B |
| Motherboard | LG Electronics 16Z90TS |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1168
217.1 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.4 IPS |
|
|
Image Classification (Q)
|
99% |
2915
543.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
4718
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3116
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1836
2.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
8770
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.33 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.08 IPS |
|
|
Object Detection (Q)
|
86% |
259
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.58 IPS |
|
|
Face Detection (HP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
3132
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
502
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
1290
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6492
8.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4282
5.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3071
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.47 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
304
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
101
135.3 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.4 IPS |
|
|
Text Classification (Q)
|
97% |
589
788.8 IPS |
|
|
Machine Translation (SP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
65% |
351
7.05 IPS |
